PyTorch implementation of the highlights faithfulness and coverage metrics for the Fusion-in-Context task

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Project description

Evaluation Framework for the Multi-Review Fusion-in-Context Task

After installing the package, please also install the required spaCy model:

python -m spacy download en_core_web_sm

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

This version

0.1.0

Mar 20, 2024

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Uploaded Mar 20, 2024 Source

Uploaded Mar 20, 2024 Python 3

Hashes for fic_evaluation-0.1.0-py3-none-any.whl
Algorithm	Hash digest
SHA256	`3a8895a3b4d2a58bf64d8dcce3a476485790b17f4e6e8915f80578dadca72b50`
MD5	`82b684f60fefe1b23c27797e89f6ef47`
BLAKE2b-256	`15c2cc9cfe9020facec081fdb1ab5710c384539a3a3582aeffdd08d076e19972`